PredictEasy!
  • ๐Ÿš€PredictEasy
  • Getting Started
  • โ˜๏ธInstallation
  • ๐Ÿ› ๏ธData Preprocessing
    • Label Encoding
    • Log Transform
    • Standard Scaling
    • Replacement
    • Imputation
  • ๐Ÿ“ŠStatistical Test
    • T-Test
    • ANOVA Test
    • Spearmanโ€™s Rank Correlation
    • Pearsonโ€™s Correlation
    • Chi-Squared Test
    • Shapiro-Wilk Test
    • Kruskal-Wallis H Test
    • Friedman Test
  • ๐Ÿ“ถData Modelling
    • Classification
    • Regression
    • Clustering
  • ๐Ÿ”กNLP
    • Sentiment Analysis
  • ๐Ÿ“ˆVisualization Charts
    • Line graph
    • Bar Chart
    • Scatter Chart
    • Area Chart
  • Media
  • ๐Ÿ“ฝ๏ธVideo Tutorials
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  1. Data Preprocessing

Label Encoding

PreviousData PreprocessingNextLog Transform

Last updated 1 year ago

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Label encoding is a technique used to convert categorical data into numerical format. It assigns a unique integer to each category, allowing algorithms to work with categorical variables. For example, converting 'Red', 'Blue', and 'Green' to 0, 1, and 2, respectively.

Steps to follow :

  1. Identify and highlight the columns you wish to label encode. Click and drag to select the specific range (e.g., A1:A30).

  2. Look for the "Label Encoding" option within PredictEasy and select specific range.

  3. If the selected area has headers, make sure to check the checkbox designated for headers. This ensures that the add-on considers the header row as header during the label encoding process.

  4. Click the "Encode" button within the PredictEasy interface. This action triggers the label encoding process.

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